Jobs / United States / Nvidia Corporation
Senior System Software Engineer – Data Center Compute Diagnostics
Nvidia Corporation · 🇺🇸 US, NC, Durham
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Nvidia Corporation paid sponsored hires in similar roles14 certified filings for “Software Engineer” (Software Developers) in NC: $157k–$184k, median $176k. Most were filed at wage level IV (79%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Nvidia Corporation
The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Nvidia Corporation →
About the role
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a system software engineer to develop low-level diagnostic software for next-generation data center GPUs and rack-scale AI systems. Our team builds software that exercises and validates complex hardware, including compute engines, memory and cache subsystems, NICs, PCIe and NVLink interfaces, power delivery, and thermal behavior. This role is well suited to an embedded, firmware, device-driver, hardware-validation, or systems software engineer who enjoys working close to hardware. Relevant experience may come from GPUs, CPUs, networking, storage, servers, embedded systems, or other complex silicon-based products. Prior GPU, CUDA, or GEMM experience is helpful but not required; you will have the opportunity to learn GPU architecture and programming while working with experienced engineers. You will own well-scoped components of the diagnostic software from design through implementation, validation, productization, and field support. You will collaborate with hardware architects, driver developers, silicon-validation engineers, manufacturing teams, and field engineers to bring up new hardware and diagnose difficult system failures. What you’ll be doing: • Developing diagnostic and stress software in C/C++ and Python for complex hardware systems. • Collaborating with hardware blocks, firmware, Linux device drivers, registers, telemetry, and low-level debugging tools. • Bringing up and validating new silicon and system features using pre-production hardware and software. • Creating targeted tests for compute engines, memory and cache subsystems, DMA engines, PCIe/NVLink interfaces, power, and thermal behavior. • Investigating hardware and software failures involving memory errors, ECC, data integrity, performance, thermals, voltage/frequency behavior, and high-speed interfaces. • Contributing to diagnostic and stress workloads ranging from low-level tests for GPU hardware to higher-level AI workloads, with opportunities to develop expertise in CUDA programming, GEMM-style compute, NCCL, and PyTorch-based workloads. • Using modern development and analysis tools, including AI-assisted tools where appropriate, to accelerate coding, debugging, test creation, and failure analysis. What we need to see: • BS or MS degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent experience. • 12+ years of experience in embedded software, firmware, Linux device drivers, systems software, hardware validation, diagnostics, or silicon bring-up. • Strong programming skills in C and C++, plus working proficiency in Python. • Experience developing software that interacts with hardware, firmware, device drivers, hardware registers, or low-level interfaces. • Experience creating diagnostics, validation tests, stress tests, manufacturing tests, or other software used to isolate hardware or system failures. • Understanding of fundamental computer architecture concepts such as memory, caches, interrupts, DMA, buses, and device I/O. • Strong debugging and problem-solving skills, including the abilit